{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ac70ddef",
   "metadata": {},
   "source": [
    "# 线型\n",
    "您可以使用关键字参数 linestyle 或 ls 来更改绘制线的样式："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2a8eccc4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a81413da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ypoints = np.array([3, 8, 1, 10])\n",
    "\n",
    "plt.plot(ypoints, linestyle = 'dotted')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "39aacb11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x10f27c48>]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(ypoints, linestyle = 'dashed')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e02c99ea",
   "metadata": {},
   "source": [
    "# 更短的语法\n",
    "线条样式可以用更短的语法编写：\n",
    "\n",
    "linestyle 可以写成 ls\n",
    "\n",
    "dotted 可以写成：\n",
    "\n",
    "dashed 可以写成--"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ba3e2e50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x69d9fc8>]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(ypoints, ls = ':')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "615693c4",
   "metadata": {},
   "source": [
    "# 线参考\n",
    "<table>\n",
    "<tbody>\n",
    "<tr>\n",
    "<th>Line Syntax</th>\n",
    "<th>Description</th>\n",
    "<th>Line Syntax</th>\n",
    "<th>Description</th>\n",
    "<th>Line Syntax</th>\n",
    "<th>Description</th>\n",
    "<th>Line Syntax</th>\n",
    "<th>Description</th>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>'-'</td>\n",
    "<td>Solid line</td>\n",
    "<td>':'</td>\n",
    "<td>Dotted line</td>\n",
    "<td>'--'</td>\n",
    "<td>Dashed line</td>\n",
    "<td>'-.'</td>\n",
    "<td>Dashed/dotted line</td>\n",
    "</tr>\n",
    "</tbody>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49e11f55",
   "metadata": {},
   "source": [
    "# 线条颜色\n",
    "使用关键字参数 color 或 c 来设置线条的颜色："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4d6179e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ypoints = np.array([3, 8, 1, 10])\n",
    "\n",
    "plt.plot(ypoints, color = 'r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7b33f75b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x55c6b08>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 您还可以使用十六进制颜色值：\n",
    "plt.plot(ypoints, c = '#4CAF50')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f0b16af0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x564ff88>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 140 种支持的颜色名称中的任何一种。\n",
    "plt.plot(ypoints, c = 'hotpink')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1f3cb03",
   "metadata": {},
   "source": [
    "# 线宽度\n",
    "您可以使用关键字参数 linewidth 或 lw 来更改线条的宽度。\n",
    "\n",
    "该值是一个浮点数，以磅为单位："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ac69acf0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ypoints = np.array([3, 8, 1, 10])\n",
    "\n",
    "plt.plot(ypoints, linewidth = '20.5')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "636ae1b1",
   "metadata": {},
   "source": [
    "# 多行\n",
    "通过简单地添加更多 plt.plot() 函数来绘制任意数量的线："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7b4d584e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y1 = np.array([3, 8, 1, 10])\n",
    "y2 = np.array([6, 2, 7, 11])\n",
    "\n",
    "plt.plot(y1)\n",
    "plt.plot(y2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c2ccfef",
   "metadata": {},
   "source": [
    "您还可以通过在同一 plt.plot() 函数中为每条线添加 x 轴和 y 轴的点来绘制多条线。\n",
    "\n",
    "（在上面的例子中，我们只指定了 y 轴上的点，这意味着 x 轴上的点得到了默认值（0、1、2、3）。）\n",
    "\n",
    "x 和 y 值成对出现："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2141b6ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x1 = np.array([0, 1, 2, 3])\n",
    "y1 = np.array([3, 8, 1, 10])\n",
    "x2 = np.array([0, 1, 2, 3])\n",
    "y2 = np.array([6, 2, 7, 11])\n",
    "\n",
    "plt.plot(x1, y1, x2, y2)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
